Abstract:
:In this paper, an intelligent proportional-integral-derivative (PID) control method is introduced to the robotic testing system for the biomechanical study of human musculoskeletal joints. For the testing system, the robot is a highly nonlinear and heavily coupled complicated system, and the human spinal specimen also demonstrates nonlinear property when undergoing testing. Although the conventional PID control approach is extensively used in most industrial control systems, it will break down for nonlinear systems, particularly for complicated systems that have no precise mathematical models. To overcome those difficulties, an intelligent fuzzy PID controller is proposed replacing the widely used conventional PID controllers. The fuzzy PID algorithm is outlined using the fuzzy set theory. The design techniques are developed based on the linguistic phase plane approach. The heuristic rules of syntheses are summarized into a rule-based expert system. Experiments are carried out and the results demonstrate the good performance of the robotic testing system using the proposed control method.
journal_name
Ann Biomed Engjournal_title
Annals of biomedical engineeringauthors
Tian Ldoi
10.1023/b:abme.0000030759.80354.e8subject
Has Abstractpub_date
2004-06-01 00:00:00pages
899-909issue
6eissn
0090-6964issn
1573-9686journal_volume
32pub_type
杂志文章abstract::Millions of people worldwide are diagnosed each year with valvular heart disease, resulting in hundreds of thousands of valve replacement operations. Prosthetic valve replacements are designed to correct narrowing or backflow through the valvular orifice. Although commonly used, these therapies have serious disadvanta...
journal_title:Annals of biomedical engineering
pub_type: 杂志文章,评审
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pub_type: 杂志文章,已发布勘误
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pub_type: 杂志文章,评审
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journal_title:Annals of biomedical engineering
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journal_title:Annals of biomedical engineering
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journal_title:Annals of biomedical engineering
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